Update README.md

README.md

@@ -1,24 +1,3 @@
-# Skin Cancer Detection Model
-
-This model is trained to detect different types of skin cancer from images using the HAM10000 dataset. The model predicts seven types of skin cancer:
-
-- **akiec**: Actinic Keratoses and Intraepithelial Carcinoma
-- **bcc**: Basal Cell Carcinoma
-- **bkl**: Benign Keratosis
-- **df**: Dermatofibroma
-- **nv**: Melanocytic Nevus
-- **vasc**: Vascular Lesions
-- **mel**: Melanoma
-
-## Model Information
-The model is a convolutional neural network (CNN) built with TensorFlow and Keras, trained on the HAM10000 dataset.
-
-## Usage
-You can use this model in Python by loading it via `keras` or `tensorflow`.
-
-```python
-from tensorflow.keras.models import load_model
-model = load_model('path_to_model.h5')
 
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 tags:
@@ -47,4 +26,24 @@ model-index:
             value: 0.73
 ---
 
+# Skin Cancer Detection Model
+
+This model is trained to detect different types of skin cancer from images using the HAM10000 dataset. The model predicts seven types of skin cancer:
 
+- **akiec**: Actinic Keratoses and Intraepithelial Carcinoma
+- **bcc**: Basal Cell Carcinoma
+- **bkl**: Benign Keratosis
+- **df**: Dermatofibroma
+- **nv**: Melanocytic Nevus
+- **vasc**: Vascular Lesions
+- **mel**: Melanoma
+
+## Model Information
+The model is a convolutional neural network (CNN) built with TensorFlow and Keras, trained on the HAM10000 dataset.
+
+## Usage
+You can use this model in Python by loading it via `keras` or `tensorflow`.
+
+```python
+from tensorflow.keras.models import load_model
+model = load_model('path_to_model.h5')